A camera based location estimation using point clouds

Masafumi Nakagawa, Daisuke Kato, Hirotaka Endo, Kenta Ochiai, Anna Nakanishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

When facility information is geocoded onto maps, higher accuracy and higher spatial resolution are required to assist AR interface. In this paper, we focus on the potential of a camera to act as a location sensor, assisting other location sensors to improve positioning accuracy. However, for a camera to be used as a location sensor, reliable maps will be required. We therefore focus on massive point-cloud data for use in reliable maps. We then develop a location-matching methodology based on image matching using an image taken from a camera and panoramic images generated from a massive colored point cloud. Finally, we present experimental results that confirm the validity of our approach.

Original languageEnglish
Title of host publication33rd Asian Conference on Remote Sensing 2012, ACRS 2012
Pages43-50
Number of pages8
Volume1
Publication statusPublished - 2012
Event33rd Asian Conference on Remote Sensing 2012, ACRS 2012 - Pattaya
Duration: 2012 Nov 262012 Nov 30

Other

Other33rd Asian Conference on Remote Sensing 2012, ACRS 2012
CityPattaya
Period12/11/2612/11/30

Fingerprint

Cameras
Sensors
Image matching

Keywords

  • Camera calibration
  • Image matching
  • Location estimation
  • Panorama image
  • Point cloud

ASJC Scopus subject areas

  • Information Systems

Cite this

Nakagawa, M., Kato, D., Endo, H., Ochiai, K., & Nakanishi, A. (2012). A camera based location estimation using point clouds. In 33rd Asian Conference on Remote Sensing 2012, ACRS 2012 (Vol. 1, pp. 43-50)

A camera based location estimation using point clouds. / Nakagawa, Masafumi; Kato, Daisuke; Endo, Hirotaka; Ochiai, Kenta; Nakanishi, Anna.

33rd Asian Conference on Remote Sensing 2012, ACRS 2012. Vol. 1 2012. p. 43-50.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nakagawa, M, Kato, D, Endo, H, Ochiai, K & Nakanishi, A 2012, A camera based location estimation using point clouds. in 33rd Asian Conference on Remote Sensing 2012, ACRS 2012. vol. 1, pp. 43-50, 33rd Asian Conference on Remote Sensing 2012, ACRS 2012, Pattaya, 12/11/26.
Nakagawa M, Kato D, Endo H, Ochiai K, Nakanishi A. A camera based location estimation using point clouds. In 33rd Asian Conference on Remote Sensing 2012, ACRS 2012. Vol. 1. 2012. p. 43-50
Nakagawa, Masafumi ; Kato, Daisuke ; Endo, Hirotaka ; Ochiai, Kenta ; Nakanishi, Anna. / A camera based location estimation using point clouds. 33rd Asian Conference on Remote Sensing 2012, ACRS 2012. Vol. 1 2012. pp. 43-50
@inproceedings{f1cfe2a294dc4e0a9c6468d734fba621,
title = "A camera based location estimation using point clouds",
abstract = "When facility information is geocoded onto maps, higher accuracy and higher spatial resolution are required to assist AR interface. In this paper, we focus on the potential of a camera to act as a location sensor, assisting other location sensors to improve positioning accuracy. However, for a camera to be used as a location sensor, reliable maps will be required. We therefore focus on massive point-cloud data for use in reliable maps. We then develop a location-matching methodology based on image matching using an image taken from a camera and panoramic images generated from a massive colored point cloud. Finally, we present experimental results that confirm the validity of our approach.",
keywords = "Camera calibration, Image matching, Location estimation, Panorama image, Point cloud",
author = "Masafumi Nakagawa and Daisuke Kato and Hirotaka Endo and Kenta Ochiai and Anna Nakanishi",
year = "2012",
language = "English",
isbn = "9781622769742",
volume = "1",
pages = "43--50",
booktitle = "33rd Asian Conference on Remote Sensing 2012, ACRS 2012",

}

TY - GEN

T1 - A camera based location estimation using point clouds

AU - Nakagawa, Masafumi

AU - Kato, Daisuke

AU - Endo, Hirotaka

AU - Ochiai, Kenta

AU - Nakanishi, Anna

PY - 2012

Y1 - 2012

N2 - When facility information is geocoded onto maps, higher accuracy and higher spatial resolution are required to assist AR interface. In this paper, we focus on the potential of a camera to act as a location sensor, assisting other location sensors to improve positioning accuracy. However, for a camera to be used as a location sensor, reliable maps will be required. We therefore focus on massive point-cloud data for use in reliable maps. We then develop a location-matching methodology based on image matching using an image taken from a camera and panoramic images generated from a massive colored point cloud. Finally, we present experimental results that confirm the validity of our approach.

AB - When facility information is geocoded onto maps, higher accuracy and higher spatial resolution are required to assist AR interface. In this paper, we focus on the potential of a camera to act as a location sensor, assisting other location sensors to improve positioning accuracy. However, for a camera to be used as a location sensor, reliable maps will be required. We therefore focus on massive point-cloud data for use in reliable maps. We then develop a location-matching methodology based on image matching using an image taken from a camera and panoramic images generated from a massive colored point cloud. Finally, we present experimental results that confirm the validity of our approach.

KW - Camera calibration

KW - Image matching

KW - Location estimation

KW - Panorama image

KW - Point cloud

UR - http://www.scopus.com/inward/record.url?scp=84880030785&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880030785&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781622769742

VL - 1

SP - 43

EP - 50

BT - 33rd Asian Conference on Remote Sensing 2012, ACRS 2012

ER -